CHAPTER 6: CLASSIFICATION

Jan 11, 2013

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CHAPTER 6: CLASSIFICATION. 2. Stages in classification. There are series of key stages necessary for the successful extraction of land cover information from remotely sensed data. These are summarized below:1) It is first necessary is to define as precisely as possible what are the final product

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CHAPTER 6: CLASSIFICATION

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B ayes decision theory

Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley & Sons, 2000 with the permission of the authors and the publisher. B ayes decision theory. febr. 17.

913 views • 55 slides

Chapter 3: The Classification of Clastic Sedimentary Rocks

Chapter 3: The Classification of Clastic Sedimentary Rocks. A very basic classification of all sedimentary rocks is based on the type of material that is deposited and the modes of deposition. Classification based on grain size.

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Classification

Classification. Based in part on Chapter 10 of Hand, Manilla, & Smyth and Chapter 7 of Han and Kamber David Madigan. Predictive Modeling. Goal: learn a mapping: y = f ( x ;  ) Need: 1. A model structure 2. A score function 3. An optimization strategy

515 views • 39 slides

CHAPTER - 5 PERIODIC CLASSIFICATION OF ELEMENTS

CHAPTER - 5 PERIODIC CLASSIFICATION OF ELEMENTS. CLASS :- X MADE BY :- MANAS MAHAJAN SCHOOL :- K.V. GANESHKHIND PUNE-7. 1) Classification of elements :-. The arranging of elements into different groups on the

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Chapter 6. Classification and Prediction

Classification by decision tree induction Bayesian classification Rule-based classification Classification by back propagation Support Vector Machines (SVM) Associative classification. Chapter 6. Classification and Prediction. Bayesian Classification.

392 views • 12 slides

Chapter 3: Supervised Learning

Chapter 3: Supervised Learning. Road Map. Basic concepts Decision tree induction Evaluation of classifiers Rule induction Classification using association rules Naïve Bayesian classification Naïve Bayes for text classification Support vector machines K-nearest neighbor

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Phylogeny & Classification

Phylogeny & Classification. Chapter 18. K ings P lay C hess O n F ridays G enerally S peaking. Linnaean Classification

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Chapter 20 Classification of Living Things

Chapter 20 Classification of Living Things. Taxonomy – Science of Classification . Branch of biology concerned with identifying , describing and naming organisms. Ideally, classification is based on our understanding of how organisms are related to one another through evolution

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Naïve Bayes Text Classification

Naïve Bayes Text Classification. Reading: Manning, Raghavan , and Schutze , Text classification and Naive Bayes , pp. 253-270(Chapter 13 in Introduction to Information Retrieval ). Classification, learning, and generalization. General description of classification :

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Chapter 5: Asset Classification

Chapter 5: Asset Classification. Objectives. Assign information ownership responsibilities Develop and use information classification guidelines Understand information handling and labeling procedures Manage an information classification program Identify and inventory information systems

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Classification – Chapter 18

Classification – Chapter 18. Early Systems of Classification. Taxonomy – naming and grouping organisms according to their characteristics and evolutionary history. Aristotle first classified organisms 2,000 years ago. “Classify This” He classified living things as either plants or animals.

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Chapter 5

Chapter 5. Macroevolution: Processes of Vertebrate and Mammalian Evolution. Classification. Classification is used to order organisms into categories to show evolutionary relationships. Example - human classification Kingdom: Animalia Subkingdom: Metazoan Phyla: Chordata

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Classification

Classification. Take Out Inv. 31: Classification For Stamping. Question of the Day. Question: Why do scientists classify living things? Advantages? Answer: … … …. Turn in HW After Review. Inv. 31: Classification. Notes: Classification. Video: History of Classification. Taxonomy.

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Classification

Classification. Chapter 1 Lesson 2 Vocabulary. Classification - Orderly arrangement of organisms into groups based on similar characteristics. Biologists use classification to make organisms easier to study . Taxonomy - is the scientific study of how organisms are classified.

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Chapter 4 (Part 1): Non-Parametric Classification

Chapter 4 (Part 1): Non-Parametric Classification. Introduction Density Estimation Parzen Windows. All materials used in this course were taken from the textbook “Pattern Classification” by Duda et al., John Wiley & Sons, 2001 with the permission of the authors and the publisher.

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Chapter 18

Chapter 18. Classification. What is Classification?. Classification is the grouping of objects based on similarities Classifying Biology and Chemistry as Science is a type of classification We classify organisms to help name them and to create order

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Chapter 4 Classification

Chapter 4 Classification. Classification: Definition. Given a collection of records ( training set ) Each record contains a set of attributes , one of the attributes is the class . Find a model for class attribute as a function of the values of other attributes.

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Chapter 6. Classification and Prediction

What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction Bayesian classification Rule-based classification Classification by back propagation. Support Vector Machines (SVM) Associative classification

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Chapter 17.1

Chapter 17.1. Classification. Section 17.1 Summary – pages 443-449. Classification of Living Things. Classification—the grouping of objects or information based on similarities. Taxonomy - branch of biology that groups and names organisms based on studies of their different characteristics.

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Chapter 18: Classification

Chapter 18: Classification. 18-1 History of Taxonomy. 18-2 Modern Phylogenetic Taxonomy. 18-3 Two Modern Systems of Classification. 18-1 History of Taxonomy. I. Early Systems of Classification (Aristotle, Greece ~2,100 years ago).

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Data Mining amd Knowledge Acquisition — Chapter 5 —

Data Mining amd Knowledge Acquisition — Chapter 5 —. BIS 541 2012/2013 Spring. Chapter 7. Classification and Prediction. What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction Bayesian Classification

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Chapter 6. Classification and Prediction

Eager Learners : when given a set of training tuples, will construct a generalization model before receiving new tuples to classify Classification by decision tree induction Rule-based classification Classification by back propagation Support Vector Machines (SVM) Associative classification.

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CHAPTER 6: CLASSIFICATION

CHAPTER 6: CLASSIFICATION

Presentation Transcript

B ayes decision theory

Chapter 3: The Classification of Clastic Sedimentary Rocks

Classification

CHAPTER - 5 PERIODIC CLASSIFICATION OF ELEMENTS

Chapter 6. Classification and Prediction

Chapter 3: Supervised Learning

Phylogeny &amp; Classification

Chapter 20 Classification of Living Things

Naïve Bayes Text Classification

Chapter 5: Asset Classification

Classification – Chapter 18

Chapter 5

Classification

Classification

Chapter 4 (Part 1): Non-Parametric Classification

Chapter 18

Chapter 4 Classification

Chapter 6. Classification and Prediction

Chapter 17.1

Chapter 18: Classification

Data Mining amd Knowledge Acquisition — Chapter 5 —

Chapter 6. Classification and Prediction

Phylogeny & Classification